Hi,
I'm Natasha
an ML Engineer
London, UK | (+44) 7380981449

I specialize in architecting Data Science and Machine Learning solutions. My expertise lies in developing predictive systems for fraud detection, customer behavioral analytics, and geospatial intelligence, as well as computational modeling and implementing LLM frameworks.

Outside of work, I usually spend my time writing, gaming, tinkering with IoT/3D modelling, or do strength training.


# ABOUT ME

I am a Graduate Researcher at Imperial College London, finishing my MSc in Applied Computational Science & Engineering.

I am currently seeking Senior Data Science or Applied AI roles (September 2026 start), looking for Remote (Global/APAC) opportunities based in Indonesia.

My technical core focuses on predictive modeling, end-to-end ML pipelines, and cloud-native deployments. I specialize in bridging the gap between complex data analysis and production-ready AI solutions.

# SHOWCASE


# WHAT I BUILD

I combine data-driven insights, automation, and scalable deployment for AI/ML applications. Here's what I did in my previous roles:

Or read here for a summary of my expertise, the types of services I've delivered before, my achievements, and my scientific publications:

WORK EXPERIENCE

Conducting research into the origins of the Martian moons (Phobos & Deimos) through high‑fidelity tidal disruption simulations, under the supervision of Research Scientist at NASA Ames Research Center & Imperial Research Fellow Dr. Jacob Kegerreis.

DAnS is an IT solutions provider for Telkomsel (Indonesia's No.1 internet provider, 150M+ users), the company behind DigiPOS and AI-powered Digital Smart Care.

● Led development of a Fraud Detection System, applying and benchmarking 6+ anomaly detection methods to deliver real-time fraud scoring models.

● Developed practical ML solutions in 5 projects for Telkomsel, including digital point-of-sale and customer service chatbots.

● Designed and implemented scalable AI architectures combining rule-based logic and ML inference, achieving a 15% increase in precision.

● Implemented containerized FastAPI services for a real-time AI monitoring platform, incorporating ML-based alerting, geospatial, and RAG.

Stack: Python, GCP, BigQuery, VertexAI, MLflow, Dataflow, Apache Kafka, FastAPI, Docker

LinkAja is Indonesia's largest state-owned digital wallet (93M+ users, 2.9M merchants, 100%+ YoY GTV growth).

● Led development of 4 ML fraud detection models and streamlined BI dashboard monitoring for B2B & B2C e-wallet fintech.

● Mentored new engineers on fraud analytics and AI/ML techniques via MSIB program.

● Prevented 95% of potential monthly financial losses & reduced fraud incidents by 20.3% compared to the previous model.

● Closely collaborated with 3 teams to deploy ML models on GCP Cloud Functions and VMs.

Stack: Python, GCP, BigQuery, Cloud Functions, Virtual Machines

LAPAN is Indonesia's state research agency responsible for advancing national R&D in AI, satellite technology, and aerospace. (Now integrated into BRIN, National Research and Innovation Agency)

Research Associate, AI/ML
● Applied machine learning and data analytics to satellite-based climate and atmospheric data under a state research grant.
● Co-authored two publications in collaboration with Bandung Institute of Technology (ITB), Indonesia's top-ranked university.

Data Science Research Intern
● Forecasted monsoonal index (1965-2022) with ARIMA in Python & R at 95% accuracy; visualized using GeoPandas and Seaborn.
● Modeled data from 900+ weather stations, producing insights for LAPAN's further research.

Education

  • IMPERIAL COLLEGE LONDON
    MSc in Applied Computational Science and Engineering
    ~ Ranked #2 in the World (QS World University Rankings 2025 & 2026), awarded the fully funded LPDP Scholarship


  • UNIVERSITY OF INDONESIA
    Postgraduate Studies in Environmental Science
    (Energy & Sustainability)
    ~ Ranked #1 in Indonesia (Times Higher Education 2024-2026 & QS WUR 2023-2025), prior graduate coursework


  • BANDUNG INSTITUTE OF TECHNOLOGY
    BSc in Earth Science and Technology, Meteorology
    (Geospatial Data Science)
    ~ Top #1 for Engineering & Technology in Indonesia (QS WUR 2023 & 2025-2026)

TECH STACKS
Programming Languages:Python, C++, Javascript
Libraries/Tools:ML (Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, OpenCV)
NLP (NLTK, HuggingFace, spaCy)
Visualization (Matplotlib, Seaborn, Pandas, NumPy, Plotly)
Graph Networks (NetworkX, RGCNconv, HGTconv)
Generative AI (GPT-4, Llama, Stable Diffusion/SDXL)
LLM Framework (OpenAI, LangChain), Vertex AI, RAG (Retrieval-Augmented Generation)
Databases:PostgreSQL, BigQuery, MySQL, DBMS (DBeaver)
Development:Code Editor (VS Code, Google Colab), Version Control (Git), Frontend Frameworks (Vue.js, React.js), Backend Frameworks (Flask, FastAPI, Django)
Deployment:Compute Engine VM, Cloud Functions, Docker, Kubernetes


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